mmlw-retrieval-roberta-large is a large RoBERTa model fine-tuned specifically for multilingual retrieval and semantic similarity tasks. It produces high-quality embeddings suitable for information retrieval, duplicate detection, and clustering across many languages. The model is publicly hosted on Hugging Face and supports standard sentence-transformers usage patterns.
Mmlw Retrieval Roberta Large sits in PulseGate's Foundation models & chat category. It focuses on retrieving relevant documents and computing semantic similarity across multiple languages. It is built as an open-source project for developers. The project is open source (Open Source). It runs on the web and API.
It is developed by sdadas. Key capabilities include sentence similarity, multilingual retrieval, and embedding generation.
Summary written by a language model from the project’s public pages.
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